At ELSE, all information participants get during our studies is true. This implies:
In case we are responsible for a mistake that is to the disadvantage of participants, we will inform and compensate the respective participants.
We design, conduct and report our research in accordance with recognized scientific standards and ethical principles. This implies, among other things, that data collected during experiments will not contain personal data and thus will never be traced back to any specific participant. These anonymous data will typically be made available for reasons of scientific transparency and reproducibility (see below).
In case you find that during experiments we do not stick to our rules and regulations or in other ways ethical norms are violated, you can contact email@example.com or, if you wish, an independent mediator to complain about that, namely prof. dr. Ineke Maas (firstname.lastname@example.org).
The data in the participants database will only be used to organize scientific studies at ELSE. The data will never be given to third parties without your consent, except:
We use the data for the following purposes:
The personal data in the participants database and the data collected during experiments are stored separately and are never linked.
Every participant can decide at any moment to unsubscribe from the participants database. Unsubscribing from the database implies that no further invitations to our studies are sent to that person.
STUDIES AT ELSE
During a study at ELSE, data are generated based on the decisions made by the participants (hereafter: “Research Data”).
Research Data do not contain personal data and are never linked to specific persons. Thus, all Research Data are anonymous.
Research Data are used to write scientific publications and to give presentations. Written publications are made publicly available.
Research Data may be made available to researchers outside Utrecht University for scientific purposes only (e.g., for replication studies). To this end, data may be deposited in trusted academic data repositories (e.g., DANS).
For questions please contact email@example.com.